Pedestrian Evacuation Based on a Dynamic Parameters Model

2011 ◽  
Vol 97-98 ◽  
pp. 956-959 ◽  
Author(s):  
Nuo Zhu ◽  
Bin Jia ◽  
Chun Fu Shao

A dynamic parameters model is presented based on cellular automata for pedestrian evacuation in this paper. The dynamic parameters: Direction-parameter, Empty-parameter and Cognition-parameter are formulated to simplify tactically the decision-making process of pedestrians, which can reflect the pedestrian judgment on the surrounding conditions and decide the pedestrian’s choice of action. Pedestrian moving rules were established, according to two-dimensional cellular automaton. The simulation results of the model are analyzed. It is observed that there is a linear relationship between evacuation time and pedestrian density, however, there is a negative exponential relationship between evacuation time and exit width. The simulation results correspond with the actual, it is instructional significant for pedestrian evacuation.

2014 ◽  
Vol 505-506 ◽  
pp. 1037-1040
Author(s):  
Nuo Zhu

A improved dynamic parameters model is presented based on cellular automata in this paper.The dynamic parameters: Direction-parameter, Empty-parameter and Cognition-parameter are formulated to simplify tactically the decision-making process of pedestrians, which can reflect the pedestrian judgment on the surrounding conditions and decide the pedestrians choice of action. Simulation of pedestrian evacuation and pedestrian moving rules were established, according to two-dimensional cellular automaton Moore neighborhood. In the improved model, the impact of the pedestrian density around exits is considered, the simulation and experimental results prove that this improvement makes sense, because besides the spatial distance to exits, people may also choose the exit according to the pedestrian density around exits. And the simulation results of improved model is compared with experiment, comparison shows that the improved model can reproduce the experiment well. The improved model is useful for further study, it is instructional significant for pedestrian evacuation, avoiding or reducing the number injuries.


2017 ◽  
Vol 28 (10) ◽  
pp. 1750128 ◽  
Author(s):  
Yongxing Li ◽  
Hongfei Jia ◽  
Jun Li ◽  
Jian Gong ◽  
Kechao Sun

Considering the process of pedestrian evacuation as pedestrian walking freely from current position to exit and queuing at the exit, estimated evacuation time model for single pedestrian is established. Based on estimated evacuation time and shortest distance, pedestrian exit choice model is established considering pedestrian preference. Pedestrian exit choice model is added into pedestrian simulation model which is built based on cellular automata. Pedestrian evacuation behavior in multi-exits case is simulated. The simulations indicate that pedestrian evacuation model built in our work describes the pedestrian evacuation behavior well.


Author(s):  
S. M. Orel ◽  
O. V. Ivashchenko

Military activities resulting in chemical pollution of the environment could produce a long-term impact on human health, whereas under certain conditions even ultra-low concentrations of some substances might provoke cancer, without noticeable toxic effect. According to modern views on carcinogenesis, the effect of carcinogens on human health does not have a threshold level of concentration. With the current deplorable state of the environment and an urgent need to improve it in view, we argue that there is a critical need for the mechanism that could assess the real state of the environment and would be instrumental for optimal decision-making process aimed at reducing environmental costs. The paper reports a case-study and exemplifies that a stepped health risk assessment is appropriate and helpful in case of environmental pollution following military actions. It also highlights the results of the risk assessment for life of the population living in the vicinity of hostilities. The results of the possible risk calculations concerning the damage non-carcinogenic and carcinogenic compounds could cause to the people living in the vicinity of hostilities were obtained in stages; the simple Monte Carlo error propagation methods and the two-dimensional Monte Carlo procedure were used to estimate the probability of different outcomes due to the intervention of random variables. It is shown that, in comparison with the simple Monte Carlo error propagation methods, the two-dimensional Monte Carlo procedure for estimating the probability of different outcomes provides additional information for the decision-making process, concerning either taking some specific measures or not. The findings of the study are the following: the assessment and subsequent analysis of environmental risk provide much more relevant information for taking an environmental decision, as compared to the threshold concentration methodology. The risk assessment should be carried out in stages, starting from simple (deterministic) to more complex ones (first the simple Monte Carlo error propagation methods, and later, two-dimensional Monte Carlo method), whenever there arise any of the following needs: if it is necessary to establish priorities among the areas, polluters, pollutants, pollutant transfer routes, categories of population and other risk factors; if resources for environmental conservation are limited; if mistaken decisions could generate destructive results; if there is a lack of information necessary to take a competent decision.


Author(s):  
Arnab Mitra

An investigation on cellular automata (CA)-based validation of PageRank with reference to the power-law distribution is presented in this chapter to enhance the trustworthiness and safety of Clouds. Web traffic data for several Clouds were analyzed in view of power-law distribution to explore whether they are natural or manmade. Results obtained for CA-based PageRank validation were compared with Alexa®, which further supported the power-law distribution with some cut-offs, which ensured effectiveness and accuracy for CA-based validation of PageRank. Hence, this exploration helps to enhance the trustworthiness for any computed PageRank, and thus, it helps for the automated decision-making process towards an enhanced trust and safety of Clouds.


2014 ◽  
Vol 513-517 ◽  
pp. 2902-2905
Author(s):  
Gui Li Yuan ◽  
Tong Yu ◽  
Juan Du

Based on ideal point principle, an economic/environmental dispatch model considering valve point effects was constructed. The model combined optimization and decision-making process of multi-objective optimization problem and its dynamic transformation can be achieved simply by changing the weights of each of the target model. The adaptive immune vaccine algorithm was applied to optimizing the model. Meanwhile, the target expected completion rate was brought up to measure the completion degree of the environmental and economic indicators. The simulation results showed that the method proposed can reduce the pollution of the environment effectively with low fuel cost.


2014 ◽  
Vol 543-547 ◽  
pp. 1876-1879
Author(s):  
Xue Ling Jiang ◽  
Chao Yun Long ◽  
Shui Jie Qin ◽  
Li Ping Wang ◽  
Jiang Hui Dong

An expanded dynamic parameter model is introduced based on cellular automata. In this model friction is modeled quantitatively. The dynamic parameters including direction parameter and empty parameter are formulated to simplify tactically the process of making decisions for pedestrian evacuation. The pedestrian moving rule is modified by bringing in the conception of friction under high density, corresponding simulations of pedestrian evacuation is carried out. The improved model considers the impact of interactions among pedestrians on the evacuation process. Therefore, it is more accordance with actual circumstance than the original dynamic parameters model.


2014 ◽  
Vol 505-506 ◽  
pp. 1172-1178
Author(s):  
Sheng Nan Li ◽  
Xin Gang Li

The behavior of pedestrians around the corner of a room or a corridor is one of the most important features in pedestrian evacuating dynamics. In order to study this in detail, an existing potential field model is modified to capture the pedestrian dynamic around corner by introducing a local density parameter. The local density parameter of a cell is defined as the pedestrian occupancy of the surrounding eight neighbors. Simulations are carried out to study pedestrian evacuation in rooms with corners formed by internal obstacles and walls. The simulation results show that the new model can reproduce the empirical pedestrian dynamics around corner. Pedestrians prefer to walk to lower pedestrian density area although the route may be a little longer. It is also shown that the total evacuation time could be reduced for the evacuation corridor is fully utilized.


Author(s):  
Grzegorz Kopecki

The article presents an idea for a system taking autonomous navigation decisions. First, the structure of a UAV control system is described. Next, the idea for an autonomous navigation decision system is shown. Algorithms are based on the multi-criteria decision-making system. Possible faults are defined, and they are taken into consideration in the decision-making process. To illustrate the idea simulation results are shown.


2022 ◽  
Author(s):  
Guan-ning Wang ◽  
Tao Chen ◽  
Jin-wei Chen ◽  
Kaifeng Deng ◽  
Ru-dong Wang

Abstract The study of the panic evacuation process is of great significance to emergency management. Panic not only causes negative emotions such as irritability and anxiety, but also affects the pedestrians decision-making process, thereby inducing the abnormal crowd behavior. Prompted by the epidemiological SIR model, an extended floor field cellular automaton model was proposed to investigate the pedestrian dynamics under the threat of hazard resulting from the panic contagion. In the model, the conception of panic transmission status (PTS) was put forward to describe pedestrians' behavior who could transmit panic emotions to others. The model also indicated the pedestrian movement was governed by the static and hazard threat floor field. Then rules that panic could influence decision-making process were set up based on the floor field theory. The simulation results show that the stronger the pedestrian panic, the more sensitive pedestrians are to hazards, and the less able to rationally find safe exits. However, when the crowd density is high, the panic contagion has a less impact on the evacuation process of pedestrians. It is also found that when the hazard position is closer to the exit, the panic will propagate for a longer time and have a greater impact on the evacuation. The results also suggest that as the extent of pedestrian's familiarity with the environment increases, pedestrians spend less time to escape from the room and are less sensitive to the hazard. In addition, it is essential to point out that, compared with the impact of panic contagion, the pedestrian's familiarity with environment has a more significant influence on the evacuation.


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